Using random forest estimation, we identify 14 key predictors out of 190 variables with the largest predictive power for MSMR adoption and usage of digital payments. Using conditional inference trees, we study the importance of sequencing and interactions of various factors such as public sector initiatives, technological advancements, and private...
Chakravorti and Kobor provide a framework to study the creation and adoption of innovations by payment providers and processors. The authors identify several motivating factors for banks and nonbanks to invest in payment innovations. In addition, they discuss the evolutionary process of payment innovations from inception to commoditization and recognize...
Chakravorti studies systemic risk in multilateral net settlement systems is investigated using a four-period model. The model focuses on the tradeoff between systemic risk and the cost of interbank transfers along with the importance of the overnight money markets that were a key factor in the most recent financial crisis...